在发展中国家的教师中估计T2DM风险,使用包含健康生活方式指数和其他预测指标的诺莫图
Yit Han Ng1, Foong Ming Moy1,2, Noran Naqiah Hairi1,2
1Department of Social and Preventive Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Asia-Pacific journal of public health
|October 31, 2024
概括
一个新的名录图 (nomogram) 帮助教师评估他们患2型糖尿病 (T2DM) 的风险. 结合健康生活方式指数 (HLI) 和其他因素,它可以实现个性化风险预测和预防策略.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 医疗信息学 医疗信息学
背景情况:
- 2型糖尿病 (T2DM) 构成了重大的公共卫生挑战.
- 教师是T2DM风险评估对于有针对性的干预至关重要的人口群体.
- 现有的风险评估工具可能无法充分捕捉这一人口群体中T2DM发展的细微差别.
研究的目的:
- 开发和验证一个用于预测教师T2DM风险的名录.
- 确定与T2DM发展相关的关键预测因素,包括健康生活方式指数 (HLI).
- 为教师创建一个可访问的工具,以估计他们未来的T2DM风险.
主要方法:
- 一项前性队列研究,涉及来自CLUSTer队列的3477名教师.
- 通过RedCap收集数据,与马来西亚国家糖尿病登记处联系在一起.
- 考克斯比例危险模型的应用,以确定重要的T2DM预测因子.
- 基于已识别的预测因素开发一个交互式在线名录.
主要成果:
- 在随访期间,共有697名 (20.0%) 的教师被诊断出患有T2DM.
- 考克斯回归模型确定了HLI和其他11个与T2DM风险相关的预测因素.
- 开发的诺米图准确地预测了五,七和九年的T2DM风险.
- 年龄,禁食血糖 (FBG) 和HLI是名谱中最有影响力的预测因素.
结论:
- 一个包含HLI和其他预测因子的验证名录为教师T2DM风险评估提供了一种新的方法.
- 交互式名字表使教师能够理解和主动管理他们的T2DM风险.
- 这种工具可以促进早期干预策略,以减轻T2DM在教学职业中的负担.
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